Access Control Management for Computer-Aided Diagnosis Systems using Blockchain
This addresses the need for secure and decentralized access control in collaborative medical research, representing an incremental application of blockchain to a specific domain.
The paper tackles the problem of distributed data access management in multi-institutional Computer-Aided Diagnosis (CAD) systems by proposing a blockchain-based solution, which was implemented as a DApp using Ethereum in a consortium network.
Computer-Aided Diagnosis (CAD) systems have emerged to support clinicians in interpreting medical images. CAD systems are traditionally combined with artificial intelligence (AI), computer vision, and data augmentation to evaluate suspicious structures in medical images. This evaluation generates vast amounts of data. Traditional CAD systems belong to a single institution and handle data access management centrally. However, the advent of CAD systems for research among multiple institutions demands distributed access management. This research proposes a blockchain-based solution to enable distributed data access management in CAD systems. This solution has been developed as a distributed application (DApp) using Ethereum in a consortium network.